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Unified field studies of the algae testbed public-private partnership as the benchmark for algae agronomics
- Source :
- Scientific Data. 5
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- National scale agronomic projections are an important input for assessing potential benefits of algae cultivation on the future of innovative agriculture. The Algae Testbed Public-Private Partnership was established with the goal of investigating open pond algae cultivation across different geographic, climatic, seasonal, and operational conditions while setting the benchmark for quality data collection, analysis, and dissemination. Identical algae cultivation systems and data analysis methodologies were established at testbed sites across the continental United States and Hawaii. Within this framework, the Unified Field Studies were designed for algae cultivation during all 4 seasons across the testbed network. With increasingly diverse algae research and development, and field deployment strategies, the challenges associated with data collection, quality, and dissemination increase dramatically. The dataset presented here is the complete, curated, climatic, cultivation, harvest, and biomass composition data for each season at each site. These data enable others to do in-depth cultivation, harvest, techno-economic, life cycle, resource, and predictive growth modelling analysis, as well as development of crop protection strategies throughout the algae cultivation industry.
- Subjects :
- 0106 biological sciences
Statistics and Probability
Data Descriptor
Resource (biology)
Library and Information Sciences
01 natural sciences
Public-Private Sector Partnerships
Education
Algae
Chlorophyta
010608 biotechnology
Biomass
Agroecology
Microbiological Phenomena
Data collection
biology
business.industry
Axenic Culture
010604 marine biology & hydrobiology
Environmental resource management
Testbed
Agriculture
biology.organism_classification
United States
Crop protection
Computer Science Applications
Data quality
Biofuels
Environmental science
Statistics, Probability and Uncertainty
business
Information Systems
Subjects
Details
- Language :
- English
- ISSN :
- 20524463
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Scientific Data
- Accession number :
- edsair.doi.dedup.....e288b0a98867ad8c09d5a72bcccaf1b4
- Full Text :
- https://doi.org/10.1038/sdata.2018.267